Voicemail spam detection is performed based on content of voicemail messages. The content of an incoming voicemail message is compared to a spam template that includes a representation of a spam voicemail. Spam templates may be generated based on spam indications provided by users for voicemail messages they have received. User indications for sufficiently similar voicemail messages may be aggregated by maintaining a vote count for a spam template that reflects how many times a user has indicated a matching voicemail message is spam. A spam template may also include an occurrence count that reflects how many times voicemail messages matching a spam template have been detected in a telephony system. An incoming voicemail message may be compared to spam templates and, responsive to a match of content and/or a corresponding vote count or occurrence count meeting a condition, the voicemail message may be identified as spam.
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5. The method of claim 1, wherein the spam mitigation measure includes blocking the first voicemail message from entering a voicemail inbox of a user.
This invention relates to spam mitigation in voicemail systems. The problem addressed is the proliferation of unwanted or fraudulent voicemail messages that clutter users' inboxes, wasting time and resources. The solution involves detecting and blocking spam voicemail messages before they reach a user's inbox. The method includes analyzing incoming voicemail messages to identify spam. This analysis may involve examining metadata, call patterns, or audio content to determine if a message is likely spam. Once identified, the spam mitigation measure is applied. In this specific aspect, the measure involves blocking the first voicemail message from entering the user's inbox entirely, preventing it from being stored or accessed. This ensures that only legitimate messages are retained, improving user experience and system efficiency. The blocking action may be temporary or permanent, depending on further verification or user preferences. The system may also log or flag blocked messages for administrative review or further analysis. This approach reduces the burden on users to manually filter spam and enhances the reliability of voicemail services.
6. The method of claim 1, wherein the spam mitigation measure includes deleting the first voicemail message.
This invention relates to spam mitigation in voicemail systems, addressing the problem of unwanted or fraudulent voicemail messages that waste user time and system resources. The method involves detecting spam voicemail messages and applying mitigation measures to prevent them from being delivered to users. One specific mitigation measure is the deletion of the first detected spam voicemail message, ensuring it does not reach the intended recipient. The system may use various techniques to identify spam, such as analyzing call patterns, message content, or sender reputation. Once identified, the spam message is automatically deleted before it can be accessed by the user, reducing the burden of filtering unwanted messages manually. This approach enhances user experience by minimizing exposure to spam while maintaining the integrity of legitimate voicemail communications. The method may be integrated into existing voicemail systems or cloud-based telephony platforms to provide automated spam protection.
7. The method of claim 1, wherein the spam mitigation measure includes displaying a message in a user interface indicating that the first voicemail message is spam.
This invention relates to spam detection and mitigation in voicemail systems. The problem addressed is the proliferation of spam voicemail messages, which waste user time and system resources. The invention provides a method to identify and mitigate spam voicemail messages by analyzing their characteristics and taking automated actions to reduce their impact. The method involves detecting a first voicemail message as spam based on predefined criteria, such as call patterns, caller identification, or content analysis. Once identified, the system implements a spam mitigation measure, which includes displaying a message in a user interface to inform the user that the voicemail is spam. This notification helps users quickly recognize and avoid spam messages, improving efficiency and reducing unnecessary interactions. The system may also include additional spam mitigation measures, such as automatically deleting or quarantining the spam voicemail, blocking the caller, or flagging the message for further review. The user interface may provide options to customize spam detection settings or override automated decisions. The invention enhances user experience by minimizing exposure to spam while maintaining control over voicemail management.
12. The system of claim 8, wherein the spam mitigation measure includes blocking the first voicemail message from entering a voicemail inbox of a user.
This invention relates to a system for mitigating spam in voicemail systems. The problem addressed is the increasing prevalence of spam voicemail messages, which waste user time and system resources. The system identifies potentially spam voicemail messages and applies mitigation measures to prevent them from reaching a user's inbox. The system analyzes incoming voicemail messages to determine whether they are likely spam. This analysis may involve evaluating factors such as the caller's identity, call patterns, or message content. If a message is flagged as spam, the system blocks it from being stored in the user's voicemail inbox. This prevents the user from being notified or having to review the unwanted message. The system may also include additional features, such as allowing users to customize spam detection criteria or providing reporting tools to track blocked messages. The blocking mechanism ensures that only legitimate voicemail messages are delivered to the user, improving the efficiency and reliability of the voicemail system. The invention aims to reduce the burden of spam on users while maintaining the functionality of legitimate voicemail services.
13. The system of claim 8, wherein the spam mitigation measure includes displaying a message in a user interface indicating that the first voicemail message is spam.
A system for detecting and mitigating spam voicemail messages in a communication network. The system identifies spam voicemail messages based on analysis of call metadata, audio content, or user feedback. When a spam voicemail is detected, the system implements mitigation measures to reduce user exposure. One such measure involves displaying a message in a user interface to inform the user that the received voicemail message is identified as spam. This notification helps users avoid engaging with potentially harmful or unwanted content. The system may also include additional features such as blocking the sender, flagging the message for further review, or providing options to report the spam. The detection process may involve machine learning models trained on known spam patterns, call duration analysis, or sender reputation scoring. The user interface may be part of a mobile app, web portal, or voicemail management system, ensuring users are promptly alerted about spam risks. The system aims to enhance user experience by minimizing spam-related disruptions while maintaining legitimate communication channels.
18. The non-transitory computer-readable storage medium of claim 14, wherein the spam mitigation measure includes blocking the first voicemail message from entering a voicemail inbox of a user.
This invention relates to spam mitigation in voicemail systems. The problem addressed is the increasing prevalence of spam voicemail messages, which can clutter user inboxes, waste storage space, and disrupt legitimate communications. The solution involves a system that analyzes incoming voicemail messages to detect spam and applies mitigation measures to prevent such messages from reaching the user's inbox. The system processes incoming voicemail messages by extracting features such as call duration, caller ID, audio content, and metadata. These features are analyzed using machine learning models or rule-based filters to determine whether the message is likely spam. If classified as spam, the system blocks the message from being stored in the user's voicemail inbox. This prevents the spam message from being accessed or stored, reducing inbox clutter and improving user experience. The system may also include additional measures, such as logging the blocked spam messages for further analysis or reporting to the user. The blocking mechanism ensures that only legitimate voicemail messages are retained, enhancing the reliability and efficiency of voicemail services. The approach leverages automated detection and real-time filtering to minimize user intervention while effectively mitigating spam.
19. The non-transitory computer-readable storage medium of claim 14, wherein the spam mitigation measure includes deleting the first voicemail message.
This invention relates to spam mitigation in voicemail systems. The problem addressed is the proliferation of unwanted or fraudulent voicemail messages, which can disrupt legitimate communication and waste storage resources. The solution involves a computer-implemented method for detecting and mitigating spam voicemail messages. The system analyzes incoming voicemail messages to determine whether they are likely spam based on various criteria, such as caller identification, message content, or behavioral patterns. Once identified, the system applies mitigation measures to prevent the spam messages from being stored or delivered to the intended recipient. One specific mitigation measure is the deletion of the identified spam voicemail message, ensuring that it does not occupy storage space or reach the user. The system may also include additional features, such as logging the spam detection event for further analysis or alerting the user about potential spam attempts. The overall goal is to enhance the security and efficiency of voicemail systems by automatically filtering out unwanted messages.
20. The non-transitory computer-readable storage medium of claim 14, wherein the spam mitigation measure includes displaying a message in a user interface indicating that the first voicemail message is spam.
A system for detecting and mitigating spam voicemail messages in a communication network. The problem addressed is the proliferation of unwanted or fraudulent voicemail messages that waste user time and network resources. The invention provides a method for analyzing incoming voicemail messages to determine if they are spam, then applying mitigation measures to reduce their impact. The system processes a first voicemail message by extracting features such as audio characteristics, caller metadata, and historical patterns. These features are analyzed using machine learning models trained to identify spam indicators. If the analysis determines the message is spam, the system applies mitigation measures. One such measure involves displaying a message in a user interface to inform the recipient that the voicemail is likely spam, allowing them to avoid listening to it. Additional mitigation measures may include blocking the sender, flagging the message for review, or automatically deleting it. The system may also compare the voicemail message against known spam patterns or blacklists to enhance detection accuracy. The user interface provides clear visual indicators to distinguish spam messages from legitimate ones, improving user experience and reducing the likelihood of accidental engagement with spam content. The overall goal is to minimize the disruption caused by spam voicemail while maintaining the integrity of legitimate communications.
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March 3, 2021
June 4, 2024
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